The rapid adoption of Anthropic's Model Context Protocol (MCP) as critical infrastructure has revealed a significant security challenge: the problem isn’t with the protocol itself, but with the underlying permissions governing AI agent access to data and tools. Recent incidents involving data breaches highlight that overly broad, standing credentials are enabling attackers, necessitating a shift towards dynamic, temporary credentials and stricter controls based on action rather than assumed user identity. Ultimately, organizations must begin treating agent lifespan as a key factor in determining appropriate permission levels.
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